lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i15p3972-d1709649.html
   My bibliography  Save this article

Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems

Author

Listed:
  • Rossano Musca

    (Engineering Department, University of Palermo, 90128 Palermo, Italy)

  • Eleonora Riva Sanseverino

    (Engineering Department, University of Palermo, 90128 Palermo, Italy)

Abstract
This paper proposes peer-to-peer distributed algorithms for locally determining global power system quantities—specifically the total inertia and average frequency—which are critical for wide-area monitoring and control. These algorithms use a network of distributed measurement units that communicate locally, based on the push-sum protocol, to compute global information without centralized coordination. Applied to the large-scale European power system, these methods demonstrate an effective performance across varying time scales and system sizes, offering technical and economic advantages over centralized approaches.

Suggested Citation

  • Rossano Musca & Eleonora Riva Sanseverino, 2025. "Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems," Energies, MDPI, vol. 18(15), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:3972-:d:1709649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/15/3972/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/15/3972/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:3972-:d:1709649. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.
    Лучший частный хостинг